{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Direct Coupler (transmon-transmon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, Headings\n",
    "import pyEPR as epr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create the design in Metal\n",
    "Setup a design of a given dimension. Dimensions will be respected in the design rendering. <br>\n",
    "Note that the design size extends from the origin into the first quadrant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "design = designs.DesignPlanar({}, True)\n",
    "design.chips.main.size['size_x'] = '2mm'\n",
    "design.chips.main.size['size_y'] = '2mm'\n",
    "\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create two transmons with one readout resonator and move it to the center of the chip previously defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket import TransmonPocket\n",
    "from qiskit_metal.qlibrary.tlines.straight_path import RouteStraight\n",
    "\n",
    "# Just FYI, RoutePathFinder is another QComponent that could have been used instead of RouteStraight."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pos_x': '0um',\n",
       " 'pos_y': '0um',\n",
       " 'connection_pads': {},\n",
       " '_default_connection_pads': {'pad_gap': '15um',\n",
       "  'pad_width': '125um',\n",
       "  'pad_height': '30um',\n",
       "  'pad_cpw_shift': '5um',\n",
       "  'pad_cpw_extent': '25um',\n",
       "  'cpw_width': 'cpw_width',\n",
       "  'cpw_gap': 'cpw_gap',\n",
       "  'cpw_extend': '100um',\n",
       "  'pocket_extent': '5um',\n",
       "  'pocket_rise': '65um',\n",
       "  'loc_W': '+1',\n",
       "  'loc_H': '+1'},\n",
       " 'chip': 'main',\n",
       " 'pad_gap': '30um',\n",
       " 'inductor_width': '20um',\n",
       " 'pad_width': '455um',\n",
       " 'pad_height': '90um',\n",
       " 'pocket_width': '650um',\n",
       " 'pocket_height': '650um',\n",
       " 'orientation': '0',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False,\n",
       " 'hfss_inductance': '10nH',\n",
       " 'hfss_capacitance': 0,\n",
       " 'hfss_resistance': 0,\n",
       " 'hfss_mesh_kw_jj': 7e-06,\n",
       " 'q3d_inductance': '10nH',\n",
       " 'q3d_capacitance': 0,\n",
       " 'q3d_resistance': 0,\n",
       " 'q3d_mesh_kw_jj': 7e-06,\n",
       " 'gds_cell_name': 'my_other_junction'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Be aware of the options for TransmonPocket\n",
    "TransmonPocket.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pin_inputs': {'start_pin': {'component': '', 'pin': ''},\n",
       "  'end_pin': {'component': '', 'pin': ''}},\n",
       " 'fillet': '0',\n",
       " 'lead': {'start_straight': '0mm',\n",
       "  'end_straight': '0mm',\n",
       "  'start_jogged_extension': '',\n",
       "  'end_jogged_extension': ''},\n",
       " 'total_length': '7mm',\n",
       " 'chip': 'main',\n",
       " 'layer': '1',\n",
       " 'trace_width': 'cpw_width',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RouteStraight.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "q1 = TransmonPocket(design, 'Q1', options = dict(\n",
    "    pad_width = '425 um', \n",
    "    pocket_height = '650um',\n",
    "    connection_pads=dict(\n",
    "        readout = dict(loc_W=+1,loc_H=+1, pad_width='200um')\n",
    "    )))\n",
    "\n",
    "q2 = TransmonPocket(design, 'Q2', options = dict(\n",
    "    pos_x = '1.0 mm',\n",
    "    pad_width = '425 um', \n",
    "    pocket_height = '650um',\n",
    "    connection_pads=dict(\n",
    "        readout = dict(loc_W=-1,loc_H=+1, pad_width='200um')\n",
    "    )))\n",
    "\n",
    "bus = RouteStraight(design, 'coupler', Dict(\n",
    "        pin_inputs=Dict(\n",
    "            start_pin=Dict(component='Q1', pin='readout'),\n",
    "            end_pin=Dict(component='Q2', pin='readout')), ))\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get a list of all the qcomponents in QDesign and then zoom on them.\n",
    "all_component_names = design.components.keys()\n",
    "\n",
    "gui.zoom_on_components(all_component_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Save screenshot as a .png formatted file.\n",
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Screenshot the canvas only as a .png formatted file.\n",
    "gui.figure.savefig('shot.png')\n",
    "\n",
    "from IPython.display import Image, display\n",
    "_disp_ops = dict(width=500)\n",
    "display(Image('shot.png', **_disp_ops))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Closing the Qiskit Metal GUI\n",
    "gui.main_window.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
